Research on Efficient Computer Simulation Methods Based on Deep Learning Surrogate Models

Συγγραφείς: Ding, Xueying

Πηγή: Proceedings of the 2026 International Conference on Machine Learning and Neural Networks. :642-646

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3821725.3821817

Variable selection for clinical prediction models in low-dimensional data - a simulation study comparing traditional regression and machine learning methods.

Συγγραφείς: Vey JA; Institute of Medical Biometry, University of Heidelberg, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany. vey@imbi.uni-heidelberg.de., Heinze G; Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria., Kieser M; Institute of Medical Biometry, University of Heidelberg, Im Neuenheimer Feld 130.3, Heidelberg, 69120, Germany.

Πηγή: BMC medical research methodology [BMC Med Res Methodol] 2026 Jul 07; Vol. 26 (1). Date of Electronic Publication: 2026 Jul 07.

Τύπος έκδοσης: Journal Article; Comparative Study

Στοιχεία περιοδικού: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Machine Learning* , Computer Simulation*, Humans ; Predictive Learning Models ; Prediction Algorithms ; Boosting Machine Learning Algorithms ; Linear Models ; Random Forest ; Regression Analysis ; Algorithms ; Soft Computing

System Design of Computer Simulation Environment based on Deep Learning Algorithm

Συγγραφείς: Chi, Jiaqi, Wang, Wenchao

Πηγή: 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC) Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC), 2024 International Conference on. :1-5 Sep, 2024

Relation: 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC)

Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning

Συγγραφείς: Wu, P., Shi, Y., Zhao, P., Gu, Z.

Πηγή: IEEE Access Access, IEEE. 13:130796-130815 2025

Design and Implementation of Cross-border E-commerce Risk Control System Based on Machine Learning Algorithm and Computer Simulation

Συγγραφείς: Liu, Yang, Lei, Fei, Huangcheng, Wenbo

Πηγή: Proceedings of the 2024 7th International Conference on Computer Information Science and Artificial Intelligence. :179-184

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3703187.3703217

Machine Learning and Computer Simulation Disentangle the Fuzzy Inhibitor Binding by Hsp90

Συγγραφείς: Sahil, Mohammad, Koneru, Jaya Krishna, Mondal, Jagannath

Πηγή: Journal of Chemical Theory and Computation. 22(4):2043-2058

Διαθεσιμότητα: https://pubs.acs.org/doi/10.1021/acs.jctc.5c02056

Single-scattered events imaging in TOF-PET via machine learning-based classification.

Συγγραφείς: Verma R; Physics Department, Indian Institute of Technology Bombay, Mumbai 400076, India., Das P; Physics Department, Indian Institute of Technology Bombay, Mumbai 400076, India.

Πηγή: Biomedical physics & engineering express [Biomed Phys Eng Express] 2026 Sep 28; Vol. 12 (5). Date of Electronic Publication: 2026 Sep 28.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Positron-Emission Tomography*/methods , Image Processing, Computer-Assisted*/methods , Machine Learning*, Imaging, Three-Dimensional/methods ; Monte Carlo Method ; Algorithms ; Random Forest ; Phantoms, Imaging ; Scattering, Radiation ; Boosting Machine Learning Algorithms ; Computer Simulation ; Classification Algorithms ; Humans

Computational Frontiers in Arteriovenous Fistula Maturation: A Review of Fluid Dynamics and Machine Learning Models.

Συγγραφείς: Nowacki A; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas., Ramirez-Mireles L; Department of Physics, Rice University, Houston, Texas., Barcena AJR; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Marks AE; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.; The University of Texas MD Anderson Cancer Center, Graduate School of Biomedical Sciences, UTHealth Houston, Houston, Texas., Huang SY; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Castillo E; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas., Melancon MP; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.; The University of Texas MD Anderson Cancer Center, Graduate School of Biomedical Sciences, UTHealth Houston, Houston, Texas.

Πηγή: Journal of the American Society of Nephrology : JASN [J Am Soc Nephrol] 2026 Jul 01; Vol. 37 (7), pp. 1580-1598. Date of Electronic Publication: 2026 Apr 17.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: Wolters Kluwer Health, on behalf of the American Society of Nephrology Country of Publication: United States NLM ID: 9013836 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1533-3450 (Electronic) Linking ISSN: 10466673 NLM ISO Abbreviation: J Am Soc Nephrol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Machine Learning* , Arteriovenous Shunt, Surgical* , Hydrodynamics* , Renal Dialysis* , Computer Simulation*, Humans ; Hemodynamics ; Predictive Learning Models

A Survey on Hybrid Modelling using Data Science Techniques and Computer Simulation

Συγγραφείς: Fakhimi, Masoud, Feldkamp, Niclas, Mustafee, Navonil

Πηγή: ACM Transactions on Modeling and Computer Simulation. 36(3):1-32

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3811538

Research on the Construction and Application of Economic Metabolism Model Based on Computer Simulation

Συγγραφείς: Li, Zeyu

Πηγή: Proceedings of the 4th International Conference on Artificial Intelligence and Intelligent Information Processing. :633-640

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3778534.3778633

A machine learning surrogate model for fast approximation of simulated microwave ablation zones.

Συγγραφείς: Karkanis N; Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece., Samaras T; Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Πηγή: Biomedical physics & engineering express [Biomed Phys Eng Express] 2026 Jun 01; Vol. 12 (3). Date of Electronic Publication: 2026 Jun 01.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Microwaves*/therapeutic use , Ablation Techniques*/methods , Machine Learning* , Computer Simulation*, Finite Element Analysis ; Humans ; Liver Neoplasms ; Neural Networks, Computer ; Algorithms

In silico augmentation strategies for enhanced machine learning performance in fracture recognition.

Συγγραφείς: Xu M; Department of Orthopaedic Surgery, Suzhou TCM Hospital, Nanjing University of Chinese Medicine, Suzhou city, 215009, Jiangsu Province, China., Wang Z; Department of Orthopaedic Surgery, Suzhou TCM Hospital, Nanjing University of Chinese Medicine, Suzhou city, 215009, Jiangsu Province, China., Liu G; Department of Orthopaedic Surgery, Suzhou TCM Hospital, Nanjing University of Chinese Medicine, Suzhou city, 215009, Jiangsu Province, China., Wu C; Department of Orthopaedic Surgery, Suzhou TCM Hospital, Nanjing University of Chinese Medicine, Suzhou city, 215009, Jiangsu Province, China., Jiang H; Department of Orthopaedic Surgery, Suzhou TCM Hospital, Nanjing University of Chinese Medicine, Suzhou city, 215009, Jiangsu Province, China., Meng X; Department of Orthopaedic Surgery, Suzhou TCM Hospital, Nanjing University of Chinese Medicine, Suzhou city, 215009, Jiangsu Province, China. xuming1231231@hotmail.com.

Πηγή: Scientific reports [Sci Rep] 2026 May 21; Vol. 16 (1). Date of Electronic Publication: 2026 May 21.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Fractures, Bone*/diagnosis , Machine Learning* , Computer Simulation*, Humans ; Classification Algorithms ; Boosting Machine Learning Algorithms ; Prediction Algorithms ; Random Forest ; Predictive Learning Models ; Logistic Models ; Bone Density ; Support Vector Machine ; Retrospective Studies

Mathematical and Computational Models of Biochemical Reactions and Cell Signaling-From Ordinary Differential Equations to Machine Learning.

Συγγραφείς: Matyszczak G; Faculty of Chemistry, Warsaw University of Technology, Noakowski Street 3, 00-664 Warsaw, Poland.

Πηγή: International journal of molecular sciences [Int J Mol Sci] 2026 Jul 30; Vol. 27 (15). Date of Electronic Publication: 2026 Jul 30.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067 (Electronic) Linking ISSN: 14220067 NLM ISO Abbreviation: Int J Mol Sci Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Signal Transduction* , Machine Learning* , Models, Biological* , Computer Simulation*, Systems Biology/methods ; Humans ; Animals ; Soft Computing

Performance evaluation and personalized electric field prediction of the deep H1 coil in the human brain based on simulation and machine learning.

Συγγραφείς: Tan X; School of Information Science and Engineering, Yanshan University, Qinhuangdao, China., Guo A; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Wang Y; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Tian J; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Shi J; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China., Li Y; School of Information Science and Engineering, Yanshan University, Qinhuangdao, China.; Hebei Key Laboratory of Information Transmission and Signal Processing, Qinhuangdao, China.

Πηγή: Electromagnetic biology and medicine [Electromagn Biol Med] 2026; Vol. 45 (1), pp. 22-47. Date of Electronic Publication: 2025 Sep 23.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Informa Healthcare Country of Publication: England NLM ID: 101133002 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-8386 (Electronic) Linking ISSN: 15368386 NLM ISO Abbreviation: Electromagn Biol Med Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain*/physiology , Transcranial Magnetic Stimulation*/instrumentation , Machine Learning* , Electricity* , Computer Simulation*, Humans

Machine-learning-enhanced image reconstruction in optical tomography using the Monte Carlo method for light transport.

Συγγραφείς: Kangasniemi J; University of Eastern Finland, Department of Technical Physics, Kuopio, Finland., Mozumder M; University of Eastern Finland, Department of Technical Physics, Kuopio, Finland., Hauptmann A; University of Oulu, Research Unit of Mathematical Sciences, Oulu, Finland.; University College London, Department of Computer Science, London, United Kingdom., Tarvainen T; University of Eastern Finland, Department of Technical Physics, Kuopio, Finland.

Πηγή: Journal of biomedical optics [J Biomed Opt] 2026 Sep; Vol. 31 (9), pp. 096001. Date of Electronic Publication: 2026 Sep 01.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society Country of Publication: United States NLM ID: 9605853 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1560-2281 (Electronic) Linking ISSN: 10833668 NLM ISO Abbreviation: J Biomed Opt Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Tomography, Optical*/methods , Image Processing, Computer-Assisted*/methods , Machine Learning*, Monte Carlo Method ; Algorithms ; Scattering, Radiation ; Phantoms, Imaging ; Stochastic Processes ; Computer Simulation ; Light ; Convolutional Neural Networks ; Soft Computing

Limitations of simple machine-learning surrogates for cross-tissue prediction of radial177Ludose point kernels.

Συγγραφείς: Ennassiri H; Medical Physics and Radiation Protection Department, Centre Hospitalier Intercommunal Toulon-La Seyne-sur-Mer, Toulon, France.

Πηγή: Biomedical physics & engineering express [Biomed Phys Eng Express] 2026 Sep 21; Vol. 12 (5). Date of Electronic Publication: 2026 Sep 21.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Radiotherapy Planning, Computer-Assisted*/methods , Machine Learning*, Monte Carlo Method ; Humans ; Algorithms ; Linear Models ; Computer Simulation ; Phantoms, Imaging

Simulation of CO2 flux in floating-leaf vegetation zones of Lake Taihu based on machine learning models.

Μεταγλωττισμένος Τίτλος: 基于机器学习模型的太湖浮叶植物区CO2通量模拟.

Συγγραφείς: Luo SJ; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Zhang M; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Jia L; Jiangsu Province Meteorological Observation Center, Nanjing 210044, China., Xiao W; Jiangsu Province Meteorological Observation Center, Nanjing 210044, China., Qiao H; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Zhang SB; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Shi J; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Ge P; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., Yang FY; NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China.; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China., He Y; Liaoning Ecological Meteorology and Satellite Remote Sensing Center, Shenyang 110166, China.

Πηγή: Ying yong sheng tai xue bao = The journal of applied ecology [Ying Yong Sheng Tai Xue Bao] 2026 May; Vol. 37 (5), pp. 1651-1664.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Ying yong sheng tai xue bao bian ji wei yuan hui Country of Publication: China NLM ID: 9425159 Publication Model: Print Cited Medium: Print ISSN: 1001-9332 (Print) Linking ISSN: 10019332 NLM ISO Abbreviation: Ying Yong Sheng Tai Xue Bao Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Carbon Dioxide*/analysis , Plant Leaves*/metabolism , Lakes* , Machine Learning*, Environmental Monitoring/methods ; Random Forest ; China ; Long Short Term Memory ; Seasons ; Computer Simulation ; Support Vector Machine ; Neural Networks, Computer ; Models, Theoretical ; Predictive Learning Models ; Ecosystem

Computer Simulation Operating System for CNC Machine Tools Based on Deep Learning

Συγγραφείς: Cheng, Baoxin

Πηγή: 2022 International Conference on Education, Network and Information Technology (ICENIT) ICENIT Education, Network and Information Technology (ICENIT), 2022 International Conference on. :187-190 Sep, 2022

Relation: 2022 International Conference on Education, Network and Information Technology (ICENIT)

User perceptions of machine learning models as decision support for colorectal cancer multidisciplinary team conferences (AID-SIM-2): a qualitative simulation study.

Συγγραφείς: Bendix Bräuner K; Center for Surgical Sciences, Zealand University Hospital, Køge, Denmark ; Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark; Copenhagen University Hospital - North Zealand, Hillerød, Denmark; The Hospital of Mid and Western Zealand, Slagelse, Slagelse, Denmark. karob@regionsjaelland.dk., Bruun B; Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark., Bertelsen CA; Copenhagen University Hospital - North Zealand, Hillerød, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Johansen Dagenborg V; Department of Surgical Oncology, The Norwegian Radium Hospital, Oslo University Hospital, Nydalen., Safir-Hansen K; The Hospital of Mid and Western Zealand, Slagelse, Slagelse, Denmark., Sanko R; Charlie Tango, Copenhagen, Denmark., Gögenur I; Center for Surgical Sciences, Zealand University Hospital, Køge, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Konge L; Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Πηγή: Acta oncologica (Stockholm, Sweden) [Acta Oncol] 2026 Jul 31; Vol. 65, pp. 668-678. Date of Electronic Publication: 2026 Jul 31.

Τύπος έκδοσης: Journal Article; Multicenter Study

Στοιχεία περιοδικού: Publisher: Medical Journals Sweden AB Country of Publication: Sweden NLM ID: 8709065 Publication Model: Electronic Cited Medium: Internet ISSN: 1651-226X (Electronic) Linking ISSN: 0284186X NLM ISO Abbreviation: Acta Oncol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Colorectal Neoplasms*/therapy , Colorectal Neoplasms*/diagnosis , Patient Care Team*/organization & administration , Clinical Decision-Making*/methods , Machine Learning* , Decision Support Techniques* , Decision Support Systems, Clinical*, Humans ; Qualitative Research ; Predictive Learning Models ; Computer Simulation ; Female

Rapid atlas-based predictions of regional brain strain simulations from wearable head kinematics using diffusion MRI-informed machine learning.

Συγγραφείς: Mathew J; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Saludar CJA; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; University of the Immaculate Conception, Davao City, Philippines., Yeung T; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Holdsworth S; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Mātai Medical Research Institute, Gisborne, New Zealand; Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand., Wang A; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Mātai Medical Research Institute, Gisborne, New Zealand; Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand., Fernandez J; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Mātai Medical Research Institute, Gisborne, New Zealand., Bussey M; School of Physical Education Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand., McGeown JP; Mātai Medical Research Institute, Gisborne, New Zealand; Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand; Brain Health Research Institute, Auckland University of Technology, Auckland, New Zealand., Tayebi M; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Mātai Medical Research Institute, Gisborne, New Zealand., Kwon E; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Mātai Medical Research Institute, Gisborne, New Zealand., Shim V; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Mātai Medical Research Institute, Gisborne, New Zealand. Electronic address: v.shim@auckland.ac.nz.

Πηγή: Journal of biomechanics [J Biomech] 2026 Sep; Vol. 206, pp. 113497. Date of Electronic Publication: 2026 Jul 29.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Science Country of Publication: United States NLM ID: 0157375 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2380 (Electronic) Linking ISSN: 00219290 NLM ISO Abbreviation: J Biomech Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain*/diagnostic imaging , Brain Injuries, Traumatic*/diagnostic imaging , Brain Injuries, Traumatic*/physiopathology , Machine Learning* , Diffusion Magnetic Resonance Imaging* , Wearable Electronic Devices*, Football/injuries ; Humans ; Biomechanical Phenomena ; Finite Element Analysis ; Male ; Computer Simulation ; Adolescent ; Acceleration ; Head